Discover our curated collection of MCP servers for deployment & devops. Browse 3091 servers and find the perfect MCPs for your needs.
Provides a core server for managing application components.
Translates natural language commands into valid Podman CLI commands for container management.
Integrates Cursor IDE with Jenkins CI/CD systems, enabling direct interaction through natural language commands.
Serves as a Model Context Protocol server, automatically generated from an OpenAPI specification.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Establishes secure SSH connections and facilitates file transfers to remote hosts, exposing these capabilities as tools for AI-driven workflows.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Exposes financial market data endpoints for LLMs and other clients, enabling fetching of OHLCV, option chains, Greeks, and corporate events, and facilitating training dataset assembly.
Simplifies PostgreSQL database management by providing global connection pooling, PgBouncer integration, and automatic password rotation for AWS RDS.
Provides a Vercel-deployable template for building custom Model Context Protocol servers with extensible functionalities.
Demonstrates a cloud-native Kubernetes application showcasing GitOps, distributed tracing, and automated database management for building scalable microservices.
Serves real-time cryptocurrency market data with high performance and scalability.
Provides a centralized interface for managing and monitoring various homelab services.
Facilitates secure remote command execution and file transfers using SSH and SFTP, designed as a Model Context Protocol server for AI assistants.
Serves Python tools via a single backend, simultaneously exposing them through OpenAPI and MCP endpoints for diverse client integrations.
Integrates Cursor AI with n8n, enabling users to manage and execute n8n workflows directly through chat commands.
Manages and spawns bash commands asynchronously, allowing parallel execution and independent progress monitoring.
Detect vulnerabilities in websites and GitHub repositories, receiving AI-generated fix code with diffs and enabling one-click pull request creation.
Transforms a codebase into a machine-readable knowledge graph, enabling AI coding agents to reason about dependencies, impact, and system architecture.
Proxies and aggregates multiple Model Context Protocol servers, providing authentication, per-tenant permissions, rate limiting, usage logging, and tool routing.
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